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Fusion Global-Local-Topology Particle Swarm Optimization for Global Optimization Problems
Joint Authors
Shamsuddin, Siti Mariyam
Beheshti, Zahra
Sulaiman, Sarina
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-25
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
In recent years, particle swarm optimization (PSO) has been extensively applied in various optimization problems because of its structural and implementation simplicity.
However, the PSO can sometimes find local optima or exhibit slow convergence speed when solving complex multimodal problems.
To address these issues, an improved PSO scheme called fusion global-local-topology particle swarm optimization (FGLT-PSO) is proposed in this study.
The algorithm employs both global and local topologies in PSO to jump out of the local optima.
FGLT-PSO is evaluated using twenty (20) unimodal and multimodal nonlinear benchmark functions and its performance is compared with several well-known PSO algorithms.
The experimental results showed that the proposed method improves the performance of PSO algorithm in terms of solution accuracy and convergence speed.
American Psychological Association (APA)
Beheshti, Zahra& Shamsuddin, Siti Mariyam& Sulaiman, Sarina. 2014. Fusion Global-Local-Topology Particle Swarm Optimization for Global Optimization Problems. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-507128
Modern Language Association (MLA)
Beheshti, Zahra…[et al.]. Fusion Global-Local-Topology Particle Swarm Optimization for Global Optimization Problems. Mathematical Problems in Engineering No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-507128
American Medical Association (AMA)
Beheshti, Zahra& Shamsuddin, Siti Mariyam& Sulaiman, Sarina. Fusion Global-Local-Topology Particle Swarm Optimization for Global Optimization Problems. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-507128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507128